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Abderrahim Jardani

Abderrahim Jardani

Abderrahim Jardani publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Abderrahim Jardani sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

The last bar groups every scientist with 510 publications or more.

Abderrahim Jardani D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Abderrahim Jardani sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

The last bar groups every scientist with 94 D-Index or more.

Overview

Abderrahim Jardani is affiliated with the University of Rouen in France and has a research focus spanning environmental science, engineering, and earth and planetary sciences. Their work extensively covers areas such as groundwater flow and contamination studies, seismic imaging and inversion techniques, hydrology and watershed management studies, and geophysical and geoelectrical methods.

The scientist's notable recent publications include:

  • Use of convolutional neural networks with encoder-decoder structure for predicting the inverse operator in hydraulic tomography, 2021, Journal of Hydrology
  • Reconstruction of missing groundwater level data by using Long Short-Term Memory (LSTM) deep neural network, 2020, Journal of Hydrology
  • Convolutional neural networks with SegNet architecture applied to three-dimensional tomography of subsurface electrical resistivity: CNN-3D-ERT, 2021, Geophysical Journal International
  • A wavelet-assisted deep learning approach for simulating groundwater levels affected by low-frequency variability, 2022, The Science of The Total Environment
  • Hydraulic tomography in coupled discrete-continuum concept to image hydraulic properties of a fractured and karstified aquifer (Lez aquifer, France), 2020, Advances in Water Resources

Jardani frequently publishes in several key venues including Journal of Hydrology, SSRN Electronic Journal, The Science of The Total Environment, Geophysical Journal International, and Advances in Water Resources.

The scientist collaborates regularly with a number of co-authors. Frequent collaborators include:

  • M.T. Vu
  • Nicolas Masséi
  • Pierre Fischer
  • Sivarama Krishna Reddy Chidepudi
  • Abel Henriot

Their research interests intersect various subfields such as environmental engineering, geophysics, ocean engineering, water science and technology, and global and planetary change. This multidimensional approach reflects in their work on hydrological forecasting using AI and hydraulic fracturing and reservoir analysis.

Abderrahim Jardani's contributions to hydraulic tomography and geophysical methods are characterized by the use of advanced deep learning techniques, including convolutional neural networks and long short-term memory models, to address complex problems in hydrology and groundwater studies.

Best Publications

  • OZCAR: The French Network of Critical Zone Observatories

    J. Gaillardet;I. Braud;F. Hankard;S. Anquetin

  • The Self-Potential Method: Theory and Applications in Environmental Geosciences

    André Revil;Abderrahim Jardani

  • Tomography of the Darcy velocity from self-potential measurements

    Abderrahim Jardani;A. Revil;A. Revil;A. Boleve;A. Crespy

  • The Self-Potential Method

    Unknown

  • Reconstruction of missing groundwater level data by using Long Short-Term Memory (LSTM) deep neural network

    M.T. Vu;A. Jardani;N. Massei;M. Fournier

  • Three-dimensional inversion of self-potential data used to constrain the pattern of groundwater flow in geothermal fields

    Abderrahim Jardani;A. Revil;A. Boleve;Jean-Paul Dupont

  • Stochastic joint inversion of hydrogeophysical data for salt tracer test monitoring and hydraulic conductivity imaging

    Abderrahim Jardani;A. Revil;A. Revil;Jean-Paul Dupont

  • Seismoelectric response of heavy oil reservoirs: theory and numerical modelling

    A. Revil;Abderrahim Jardani

  • Self-potential signals associated with preferential groundwater flow pathways in sinkholes

    Abderrahim Jardani;Jean-Paul Dupont;A. Revil

  • Reconstruction of the water table from self-potential data: a bayesian approach.

    A. Jardani;A. Revil;Warren Barrash;A. Crespy

  • Detection of preferential infiltration pathways in sinkholes using joint inversion of self‐potential and EM‐34 conductivity data

    A. Jardani;A. Revil;F. Santos;C. Fauchard

  • Saline pulse test monitoring with the self-potential method to nonintrusively determine the velocity of the pore water in leaking areas of earth dams and embankments

    S. J. Ikard;A. Revil;A. Revil;Abderrahim Jardani;W. F. Woodruff

  • Forward Modeling and validation of a new formulation to compute self-potential signals associated with ground water flow

    A. Bolève;A. Revil;A. Revil;F. Janod;J. L. Mattiuzzo

  • Stochastic joint inversion of 2D seismic and seismoelectric signals in linear poroelastic materials: A numerical investigation

    Abderrahim Jardani;André Revil;André Revil;Evert Slob;Evert Slob;Walter Söllner

  • Stochastic joint inversion of temperature and self-potential data

    Abderrahim Jardani;A. Revil;A. Revil

  • A new model for the spectral induced polarization signature of bacterial growth in porous media

    Andre Revil;Andre Revil;Estella A. Atekwana;C. Zhang;Abderrahim Jardani

  • Seismoelectric coupling in unsaturated porous media: theory, petrophysics, and saturation front localization using an electroacoustic approach

    A Revil;G Barnier;M Karaoulis;P Sava

  • Self-potential monitoring of a salt plume

    P. Martínez-Pagán;A. Jardani;A. Revil;A. Haas

  • Detection and localization of hydromechanical disturbances in a sandbox using the self‐potential method

    A. Crespy;A. Revil;N. Linde;S. Byrdina

  • Hydraulic conductivity field characterization from the joint inversion of hydraulic heads and self‐potential data

    A Soueid Ahmed;Abderrahim Jardani;A Revil;A Revil;Jean-Paul Dupont

  • Self‐potential tomography applied to the determination of cavities

    Abderrahim Jardani;A. Revil;Jean-Paul Dupont

  • SNO KARST: a French network of observatories for the multidisciplinary study of critical zone processes in karst watersheds and aquifers

    H. Jourde;N. Massei;N. Mazzilli;S. Binet

Frequent Co-Authors

André Revil
André Revil Université Savoie Mont Blanc
Hervé Jourde
Hervé Jourde University of Montpellier
Paul Sava
Paul Sava Colorado School of Mines
Warren Barrash
Warren Barrash Boise State University
David Labat
David Labat Géosciences Environnement Toulouse
Tian-Chyi Jim Yeh
Tian-Chyi Jim Yeh University of Arizona
Niklas Linde
Niklas Linde University of Lausanne
Anne Probst
Anne Probst Paul Sabatier University
Jean-Luc Probst
Jean-Luc Probst Paul Sabatier University
Shemin Ge
Shemin Ge University of Colorado Boulder

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